Enhanced Task Scheduling Algorithm Using Multi-objective Function for Cloud Computing Framework

Abstract

Cloud computing era refers to a dynamic, scalable and pay-per-use distributed computing model empowering designers to convey applications amid task designation and storage distribution. The cloud computing mainly aims to give proficient access to remote and geographically distributed resources. The essential advantage of moving to Clouds is application versatility. It is exceptionally advantageous for the applications which are sharing their assets on various hubs. The cloud computing for the most part plans to give capable access to remote and geographically distributed resources. As cloud innovation is advancing step by step and confronts various difficulties, one of them being revealed is scheduling. To accomplish distinctive objectives and high performance of cloud computing framework, it is expected to configure, create, and propose a scheduling algorithm that outperforms the appropriate allocation of tasks with different factors. Algorithms are vital to schedule the tasks for execution. Task scheduling algorithms believed to be the most hypothetical problems in the cloud computing domain. This paper proposed a multi-objective task scheduling algorithm that considers wide variety of attributes in cloud environment and uses non-dominate sorting for prioritizing the tasks. The proposed algorithm considers three parameters i.e. Total processing cost, total processing time and average waiting time. The main objective of this paper is to enhance the performance and evaluate the performance with FCFS, SJF and previously implemented multi-objective task scheduling algorithm.